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Email List Verification Process ExplainedeHygienics
Email verification is all about non-return email deliverability by avoiding auto responders that can hurt your sender reputation. Valid emails without a return-path are favorable with email administrators and email service providers. The more emails you send, the more likely you will encounter bounces (hard or soft), vacation emails, challenge responses, replies from list servers or feedback reports. Here is email list verification process explained:
Email List Verification Process ExplainedeHygienics
Email verification is all about non-return email deliverability by avoiding auto responders that can hurt your sender reputation. Valid emails without a return-path are favorable with email administrators and email service providers. The more emails you send, the more likely you will encounter bounces (hard or soft), vacation emails, challenge responses, replies from list servers or feedback reports. Here is email list verification process explained:
A new CPXR Based Logistic Regression Method and Clinical Prognostic Modeling ...Vahid Taslimitehrani
Presented at 15th International Conference on BioInformatics and BioEngineering (BIBE2014)
Prognostic modeling is central to medicine, as it is often used to predict patients’ outcome and response to treatments and to identify important medical risk factors. Logistic regression is one of the most used approaches for clinical pre- diction modeling. Traumatic brain injury (TBI) is an important public health issue and a leading cause of death and disability worldwide. In this study, we adapt CPXR (Contrast Pattern Aided Regression, a recently introduced regression method), to develop a new logistic regression method called CPXR(Log), for general binary outcome prediction (including prognostic modeling), and we use the method to carry out prognostic modeling for TBI using admission time data. The models produced by CPXR(Log) achieved AUC as high as 0.93 and specificity as high as 0.97, much better than those reported by previous studies. Our method produced interpretable prediction models for diverse patient groups for TBI, which show that different kinds of patients should be evaluated differently for TBI outcome prediction and the odds ratios of some predictor variables differ significantly from those given by previous studies; such results can be valuable to physicians.
WF Briefing note: The problem with Greece (Apr 2015)Matthew James
World First's chief economist, Jeremy Cook, takes a look at the implications of Greece leaving the euro. Just how likely is a Grexit and what would it mean for Greece and the rest of the eurozone?
A new CPXR Based Logistic Regression Method and Clinical Prognostic Modeling ...Vahid Taslimitehrani
Presented at 15th International Conference on BioInformatics and BioEngineering (BIBE2014)
Prognostic modeling is central to medicine, as it is often used to predict patients’ outcome and response to treatments and to identify important medical risk factors. Logistic regression is one of the most used approaches for clinical pre- diction modeling. Traumatic brain injury (TBI) is an important public health issue and a leading cause of death and disability worldwide. In this study, we adapt CPXR (Contrast Pattern Aided Regression, a recently introduced regression method), to develop a new logistic regression method called CPXR(Log), for general binary outcome prediction (including prognostic modeling), and we use the method to carry out prognostic modeling for TBI using admission time data. The models produced by CPXR(Log) achieved AUC as high as 0.93 and specificity as high as 0.97, much better than those reported by previous studies. Our method produced interpretable prediction models for diverse patient groups for TBI, which show that different kinds of patients should be evaluated differently for TBI outcome prediction and the odds ratios of some predictor variables differ significantly from those given by previous studies; such results can be valuable to physicians.
WF Briefing note: The problem with Greece (Apr 2015)Matthew James
World First's chief economist, Jeremy Cook, takes a look at the implications of Greece leaving the euro. Just how likely is a Grexit and what would it mean for Greece and the rest of the eurozone?
